Assessment of Disease Codes Reliability in Emergency Department Patients

Objective: In modern times, data obtained through international classification of diseases (ICD) codes from hospital automation systems are frequently used in studies on epidemiology, surveillance, and survival.The reliability of these data is critically important for the accuracy of the studies.This study aims to investigate the accuracy of emergency department diagnoses for patients who requested urology consultations and to reveal their reliability.Method: Records of patients who requested urology consultations after presenting to the emergency department within the past year were retrospectively screened through the hospital automation system.The green, yellow, and red zone presentations were classified according to the time of day, and the compatibility of the patients' emergency diagnoses with the diagnoses in the urology clinic was evaluated.Results: A total of 2.197 patients [1.660 (75.56%) men and 537 (24.44%) women] with an average age of 50.5923.10(range: 1-98) years, who requested urology consultations in the emergency department, were included in the study.Of the patients seen in the urology clinic, 637 (28.99%) were referred from the green zone, 703 (32.04%) from the yellow zone, 221 (10.10%) from the red zone, and 636 (28.86%) from other branches.Of the patients, 1.623 (73.87%) presented between 08:00 and 16:00, 406 (18.48%) between 16:00 and 00:00, and 168 (7.64%) between 00:00 and 08:00.Ama: Gnmzde epidemiyoloji, srveyans ve sakalm gibi almalarda sklkla hastane otomasyon sistemleri zerinden uluslararas hastalk tan snflandrma (ICD) kodlar kullanlarak elde edilen veriler kullanlmaktadr.Bu verilerin gvenilirlii almalarn doruluu asndan ciddi nem tamaktadr.Bu almada acil servis bavurusunda roloji konsltasyonu istenen hastalarn acil servis tanlarnn doruluunu aratrarak gvenilirliklerini ortaya koymay amaladk

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Publication Details

Journal
Bagcilar Medical Bulletin
Published
2025-02-21
DOI
https://doi.org/10.4274/bmb.galenos.2025.00719
Primary Topic
Medical Coding and Health Information
Type
article
Field-Weighted Citation Impact
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article

Assessment of Disease Codes Reliability in Emergency Department Patients

Muhammet Murat Dinçer, Murat Köse, Engin Kandıralı, Emrah Yürük et al.
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Bagcilar Medical Bulletin
Medical Coding and Health Information
article

Assessment of Disease Codes Reliability in Emergency Department Patients

Muhammet Murat Dinçer, Murat Köse, Engin Kandıralı, Emrah Yürük, Serhat Süzan, Serhat Yentür, Serkan Gönültaş, Ahmet Yaser Müslümanoğlu, Suhejb Sulejman, Sina Kardaş, Mücahit Gelmiş
article en

Abstract

Objective: In modern times, data obtained through international classification of diseases (ICD) codes from hospital automation systems are frequently used in studies on epidemiology, surveillance, and survival.The reliability of these data is critically important for the accuracy of the studies.This study aims to investigate the accuracy of emergency department diagnoses for patients who requested urology consultations and to reveal their reliability.Method: Records of patients who requested urology consultations after presenting to the emergency department within the past year were retrospectively screened through the hospital automation system.The green, yellow, and red zone presentations were classified according to the time of day, and the compatibility of the patients' emergency diagnoses with the diagnoses in the urology clinic was evaluated.Results: A total of 2.197 patients [1.660 (75.56%) men and 537 (24.44%) women] with an average age of 50.5923.10(range: 1-98) years, who requested urology consultations in the emergency department, were included in the study.Of the patients seen in the urology clinic, 637 (28.99%) were referred from the green zone, 703 (32.04%) from the yellow zone, 221 (10.10%) from the red zone, and 636 (28.86%) from other branches.Of the patients, 1.623 (73.87%) presented between 08:00 and 16:00, 406 (18.48%) between 16:00 and 00:00, and 168 (7.64%) between 00:00 and 08:00.Ama: Gnmzde epidemiyoloji, srveyans ve sakalm gibi almalarda sklkla hastane otomasyon sistemleri zerinden uluslararas hastalk tan snflandrma (ICD) kodlar kullanlarak elde edilen veriler kullanlmaktadr.Bu verilerin gvenilirlii almalarn doruluu asndan ciddi nem tamaktadr.Bu almada acil servis bavurusunda roloji konsltasyonu istenen hastalarn acil servis tanlarnn doruluunu aratrarak gvenilirliklerini ortaya koymay amaladk

Bagcilar Medical Bulletin
Openalex Percentile: Top 97%
Medical Coding and Health Information
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